Building management system with apparent indoor temperature and comfort mapping

1. A building management system, comprising: a dry bulb temperature sensor; a humidity sensor; an airflow meter; and a controller configured to: calculate an apparent temperature using a dry bulb temperature obtained by the dry bulb temperature sensor, a relative humidity obtained by the humidity sensor, and an airflow rate obtained by the airflow meter; generate a visualization of zone comfort, the visualization comprising a comfort band and current values of the apparent temperature, the dry bulb temperature, the relative humidity, and the airflow rate plotted relative to the comfort band along independent axes; and control building equipment to drive the current values of one or more of the apparent temperature, the dry bulb temperature, the relative humidity, and the airflow rate into the comfort band.

2. The building management system of claim 1 , wherein the comfort band defines a range of comfortable values for each of the dry bulb temperature, the relative humidity, the airflow rate, and the apparent temperature.

3. The building management system of claim 1 , wherein the visualization comprises a pentagonal chart, wherein: each corner of the pentagonal chart corresponds to a parameter; each corner is joined to a center of the pentagonal chart by a corresponding axis of the independent axes on which a current value of the corresponding parameter is plotted; and a polygonal perimeter connects the current values of the parameters.

4. The building management system of claim 3 , wherein the parameters comprise the apparent temperature, the dry bulb temperature, the relative humidity, air speed, and the airflow rate.

5. The building management system of claim 3 , wherein the comfort band is formed as a polygonal band such that the polygonal perimeter is within the comfort band when the current values of the parameters are within the comfort band.

6. The building management system of claim 1 , wherein the controller is configured to execute a machine learning process to automatically modify the comfort band based on occupant behavior.

7. The building management system of claim 1 , wherein the controller is configured calculate the apparent temperature using a formula comprising scaling parameters, and wherein the controller is configured to automatically tune the scaling parameters using a machine learning approach.

8. The building management system of claim 1 , wherein the controller is configured to control the building equipment to drive the current values of one or more of the apparent temperature, the dry bulb temperature, the relative humidity, and the airflow rate into the comfort band by: determining, from a set of possible adjustments, a combination of adjustments of the dry bulb temperature, the relative humidity, and air speed that minimize energy consumption while achieving a desired apparent temperature.

9. The building management system of claim 1 , wherein the controller is configured to calculate the apparent temperature using a look-up table that maps values of the dry bulb temperature, the relative humidity, and the airflow rate to values of the apparent temperature.

10. The building management system of claim 1 , wherein the airflow meter is configured to obtain the airflow rate based on settings for a variable air volume unit.

11. A method for providing environmental comfort, comprising: obtaining measurements of a dry bulb temperature, a relative humidity, and an airflow rate for an indoor space; calculating an apparent temperature for the indoor space using the measurements; generating a visualization comprising a comfort band and a value of each of the apparent temperature, the dry bulb temperature, the relative humidity, and the airflow rate for the indoor space plotted relative to the comfort band along independent axes; and controlling building equipment to drive the value of one or more of the apparent temperature, the dry bulb temperature, the relative humidity, or the airflow rate into the comfort band.

12. The method of claim 11 , wherein the comfort band defines a range of comfortable values for each of the dry bulb temperature, the relative humidity, the airflow rate, and the apparent temperature.

13. The method of claim 11 wherein generating the visualization comprises generating a pentagonal chart, wherein: each corner of the pentagonal chart corresponds to a parameter; each corner is joined to a center of the pentagonal chart by an axis on which a current value of the corresponding parameter is plotted; and a polygonal perimeter connects current values of the parameters.

14. The method of claim 13 , wherein the parameters comprise the apparent temperature, the dry bulb temperature, the relative humidity, air speed, and the airflow rate.

15. The method of claim 14 , wherein the comfort band is formed as a pentagonal band such that a pentagonal perimeter is within the comfort band when the current values of the parameters are within the comfort band.

16. The method of claim 11 , wherein controlling the building equipment to drive current values of one or more of the apparent temperature, the dry bulb temperature, the relative humidity, and the airflow rate into the comfort band comprises: determining, from a set of possible adjustments, a combination of adjustments of the dry bulb temperature, the relative humidity, and air speed that minimizes energy consumption while achieving a desired apparent temperature.

17. One or more non-transitory computer-readable media containing program instructions that, when executed by one or more processors, cause the one or more processors to perform operations comprising: obtaining measurements of a dry bulb temperature, a relative humidity, and an airflow rate for an indoor space; calculating an apparent temperature for the indoor space using the measurements; generating a visualization comprising a comfort band and a value of each of the apparent temperature, the dry bulb temperature, the relative humidity, and the airflow rate for the indoor space plotted relative to the comfort band along independent axes; and controlling building equipment to drive the value of one or more of the apparent temperature, the dry bulb temperature, the relative humidity, or the airflow rate into the comfort band.

18. The non-transitory computer-readable media of claim 17 , wherein the comfort band defines a range of comfortable values for each of the dry bulb temperature, the relative humidity, the airflow rate, and the apparent temperature.

19. The non-transitory computer-readable media of claim 17 , wherein generating the visualization comprises generating a pentagonal chart, wherein: each corner of a pentagonal chart corresponds to a parameter; each corner is joined to a center of the pentagonal chart by a corresponding axis of the independent axes on which a current value of the corresponding parameter is plotted; and a polygonal perimeter connects current values of the parameters.

20. The non-transitory computer-readable media of claim 19 , wherein the parameters comprise the apparent temperature, the dry bulb temperature, the relative humidity, air speed, and the airflow rate; and wherein the comfort band is formed as a pentagonal band such that the polygonal perimeter is within the comfort band when the current values of the parameters are within the comfort band.

21. The non-transitory computer-readable media of claim 17 , wherein controlling the building equipment to drive the value of one or more of the apparent temperature, the dry bulb temperature, the relative humidity, or the airflow rate into the comfort band comprises: first affecting the airflow rate and determining whether the affecting the airflow rate is sufficient to move the apparent temperature into the comfort band; in response to determining that the affecting the airflow rate is not sufficient to move the apparent temperature into the comfort band, then controlling the building equipment to affect the dry bulb temperature or the relative humidity.